Stephen Lee is an Assistant Professor in the Department of Computer Science at the University of Pittsburgh, affiliated with Pitt Cyber. His research focuses on distributed systems, cyber-physical systems, and sustainability, emphasizing energy efficiency and cost optimization. Dr. Lee holds a PhD from the University of Massachusetts Amherst, a Master’s from Chennai Mathematical Institute, and a Bachelor’s from St. Stephen’s College, Delhi. He actively seeks students for his research group. Education: PhD, Computer Science, University of Massachusetts Amherst Master’s, Chennai Mathematical Institute Bachelor’s, St. Stephen’s College, Delhi Research Interests: Dr. Lee’s work integrates distributed systems, machine learning, and optimization to enhance sustainability. Key areas include IoT-enabled energy systems, emission-aware computing, and privacy-preserving frameworks. He leads projects like GreenWhisk (serverless emission reduction) and Sat2map (3D building modeling from satellite imagery). Recent Achievements: Best Paper Award in IEEE TPS 2024 DOE-funded Cyber Energy Center (2024) MCSI Seed Grant for Pitt building sustainability (2024) NSF Grant on sustainable distributed infrastructures (2023) Grants & Advising: Secured over $2M in grants, including NSF and DOE funding. Advises on energy-efficient systems and IoT security. Teaches CS 2510 (Operating Systems) and CS 1699 (Systems & Sustainability). Labs & Teams: Directs the Sustainable Systems Research Group, focusing on decarbonizing IT and optimizing renewable energy systems. Collaborates with industry partners on smart grid solutions and edge-cloud systems.
Joachim Reuder is a Professor and Research Group Leader at the Geophysical Institute, University of Bergen, affiliated with the Bjerknes Centre for Climate Research. His research focuses on turbulence in the atmospheric boundary layer, wind energy meteorology, and the application of drones for atmospheric measurements. He leads the Meteorology research group and collaborates with the Bergen Offshore Wind Centre. His work combines field observations with advanced simulations, emphasizing stable boundary layers, wind turbine wake dynamics, and lidar technology validation. Key projects include the ISOBAR Arctic field campaigns, COTUR offshore turbulence studies, and the SAMURAI-S drone-based turbulence investigation. Publications highlight contributions to lidar data analysis, boundary layer modeling, and wind energy applications. He has organized conferences and contributed to editorial roles, underscoring his influence in atmospheric science and meteorology.
Jonathan W. Chipman is an Adjunct Assistant Professor at Dartmouth College and Director of the Citrin Family GIS/Applied Spatial Analysis Laboratory. He holds an A.B. from Dartmouth College and M.S./Ph.D. from the University of Wisconsin-Madison. Specializing in geospatial science, his work integrates remote sensing, GIS, and spatial analysis to study environmental and social systems. Research focuses include lake optical properties via satellite imagery, land-use changes in Egypt/China, vegetation dynamics in southern Africa, and socio-spatial segregation patterns in the US. Education: A.B., Dartmouth College M.S., University of Wisconsin-Madison Ph.D., University of Wisconsin-Madison Research Interests: Chipman applies geospatial tools to environmental challenges, including climate change impacts on glaciers, land-cover transformations, and socio-environmental linkages. His work bridges disciplines like hydrology, ecology, and public health through innovative GIS methods. Recent projects explore tropical glacier dynamics, greenspace health correlations, and malaria endemicity patterns. Key Article Trends: Publications emphasize remote sensing applications in glaciology, environmental toxicology, and socio-environmental systems. Themes include satellite-based monitoring of river systems, glacier classification in High Mountain Asia, and GIS-driven analysis of human health exposures tied to land cover. Lab & Collaborations: Leads the Citrin Lab, focusing on applied spatial analysis. Courses taught include GEOG 54 (Geovisualization) and EARS 77 (Environmental GIS). Active in 3D landscape modeling collaborations via SketchFab and Google Scholar.
Prof Duncan Robertson is a Professorial Research Fellow at the School of Physics and Astronomy, University of St Andrews, Scotland. He holds a B.Sc. (Hons.) and Ph.D. in Physics from the same institution. His career has focused on millimeter-wave radar technologies with applications in environmental sensing, security systems, and battlefield systems. He leads the Millimetre Wave Group, specializing in radar imaging, radiometry, electron spin resonance instrumentation, and antenna design. Education: B.Sc. (Hons.) in Physics and Electronics, University of St Andrews (1991) Ph.D. in Millimetre Wave Physics, University of St Andrews (1991) Research Interests: Prof Robertson’s work spans millimeter-wave radar systems, including drone detection, glacier monitoring, sea clutter analysis, and holographic metasurfaces. His group develops technologies for security screening, environmental monitoring, and material characterization. Grants & Projects: Environmental Monitoring: Short Range Interferometric Synthetic Aperture Radar (InSAR) MuWMAS: Snowflake Scattering and Microstructure Analysis Drone Detection Radar Commercialization Labs/Teams: Leads the Millimetre Wave Group, collaborating on radar phenomenology and advanced sensor systems. Active in international radar conferences and experimental field trials.
Jose Miguel Espi Huerta is an Associate Professor in the Department of Electronic Engineering at the School of Engineering, University of Valencia. He is an active researcher in power electronics and control systems, contributing significantly to grid-connected converters, renewable energy integration, and digital control techniques. His research interests include: Power Electronics and Inverter Control Predictive and Robust Control Strategies Renewable Energy Systems (Photovoltaic and Wind) Induction Heating Technologies Remote and Web-Based Educational Labs The analysis of his recent publications reveals a strong focus on improving the efficiency and reliability of grid-connected power converters using advanced control methods such as predictive current control and MPPT strategies. His work spans both industrial applications and academic education, particularly in developing remote laboratory platforms for control systems. Scientific awards and honors: No awards listed in the provided text. He has supervised academic theses and is affiliated with the LEII (Laboratory of Industrial Electronics and Instrumentation) research group. While no formal grants are listed, his extensive publication record indicates sustained research activity. He has contributed to the development of educational tools such as air levitation systems accessible via PLC and web interfaces, promoting innovative teaching methods in engineering education. The LEII research group focuses on industrial electronics, instrumentation, and power systems, providing a collaborative environment for applied research in energy conversion and control technologies.
Professor Angelika Krehl serves as Professor for Economics, regional and sectoral structural policy and Director of the NIERS Institute (Lower Rhine Institute for Regional and Structural Research) at Niederrhein University of Applied Sciences since 2020. Her academic leadership spans regional economics, urban spatial structure analysis, and sustainability research within the Department of Economics. Her research focuses on theoretical foundations and empirical analysis methods of urban spatial structures, regional economics, economic geography, and GIS-based regional research with emphasis on sustainability aspects. Key methodologies include polycentricity measurement, density pattern analysis, and integrated spatial modeling using remote sensing data. Her work bridges urban morphology with economic development processes. Recent publications reveal strong trends in polycentric urban systems analysis, corporate regional responsibility frameworks, and sustainable land use economics. Over 70% of her recent work examines German metropolitan regions through morphological polycentricity lenses, with increasing focus on sustainability transitions and social innovation mechanisms since 2020. Methodological innovation in GIS integration and spatial metrics development characterizes her publication trajectory. Professor Krehl leads multiple major research initiatives including RediStar (diversity-sensitive startup funding), AUFBRUCH (sustainable bioeconomy transformation), R(h)einTex (textile recycling innovation), and R³ (corporate regional responsibility). Her institutional leadership extends to directing NIERS Institute and serving on the university's Advisory Board for Research and Transfer. As Director of NIERS Institute, she oversees collaborative research teams focused on regional structural policy, with particular emphasis on lignite phase-out governance, sustainable learning projects, and regional innovation ecosystems. Her work integrates academic research with practical policy implementation through close partnerships with regional stakeholders.
Cynthia van Leeuwen is a Postdoctoral Research Fellow at Wageningen University & Research , specializing in Soil Geography and Landscape . Her work focuses on quantifying uncertainties in soil data and improving spectral modeling techniques. PhD in Soil Science (completed Aug 2024) as part of a project on soil databases with quantified uncertainties Active collaborations with researchers like Gerard Heuvelink, V. L. Mulder, and N. J. Kuhn Dr. van Leeuwen's research interests span: Measurement error analysis in soil data Development of pedotransfer functions Soil chemistry and spectral modeling Environmental applications of uncertainty quantification Her publications demonstrate expertise in: Statistical modeling of soil measurement errors Calibration of spectral data Wind erosion and PM10 emissions analysis Dr. van Leeuwen has contributed to significant projects like The development and use of a soil database with quantified uncertainties (2019-2024), and her work has been cited over 80 times in academic literature.
Tiffany Roberts Briggs serves as Chair and Associate Professor in the Department of Geosciences at Florida Atlantic University. Her academic foundation includes a Ph.D. (2012), M.S. (2008), and B.S. in Environmental Science with Honors (2006), all from the University of South Florida. Her research centers on coastal geomorphology and sedimentology , with critical focus on beach-dune-nearshore system responses to natural events like hurricanes and anthropogenic interventions including coastal engineering. Key specialties include beach morphology evolution, microplastics in coastal sediments, sea turtle habitat characterization, and coastal resilience strategies. Current projects involve Hurricane Ian impact analysis, regional sediment management, and decadal-scale inlet dynamics. Teaching portfolio spans undergraduate and graduate courses including Physical Geology, Coastal and Marine Science, Shore Erosion & Protection, and specialized topics in beach morphodynamics. She actively mentors graduate students through directed research courses and supervises thesis work evident in her co-authored publications with student researchers. Briggs directs research at the Coastal Studies Lab and leads field investigations across Southeast Florida coastlines. Her work integrates advanced methodologies including LiDAR, aerial imagery, and GIS modeling for coastal change assessment. Recent publications reveal strong collaboration with agencies like USACE and NOAA, particularly in post-hurricane damage evaluation and community resilience planning.
Prof. Tomaso Fontanini is a researcher at the Department of Engineering and Architecture, University of Parma. His academic contributions span multiple disciplines, including computer science, artificial intelligence, and computer vision. 2025/2026: Deep Learning and Generative Models (Master's in Computer Engineering) 2024/2025: Processing Systems (Bachelor's in Prevention Techniques) 2023/2024: Processing Systems (Bachelor's in Prevention Techniques) 2022/2023: Processing Systems (Bachelor's in Prevention Techniques) Research Focus: His work primarily explores generative models, image synthesis, and style transfer with a strong emphasis on semantic control and attention mechanisms. Recent research has advanced state space models for efficient style transfer (Mamba-ST), semantic image synthesis via class-adaptive cross-attention, and diffusion model acceleration through U-shape architectures. Scientific Contributions: Publications include breakthroughs in controllable face synthesis, mask-based generative modeling, and video anomaly detection. His work bridges theoretical advancements in neural architectures with practical applications in remote sensing and educational technology. 2025: FLAV (audio-video generation), Swin2-MoSE (remote sensing) 2024: MARS (text-based person search), MCGM (mask conditioning) 2023: FrankenMask (face part editing), Student attendance systems
Cantay Caliskan is an Associate Professor at the Goergen Institute for Data Science, University of Rochester. He teaches Data Mining, Statistical Machine Learning, and the Data Science Capstone courses in the undergraduate and graduate data science curriculum. Bachelor of Arts, Brandeis University Master of Arts, Koç University PhD in Political Science, Computer Science, and Statistics, Boston University (2018) His research focuses on computational social science, computer vision, and generative AI, with applications in deep learning, network analysis, and AI ethics in social contexts. His recent publications span interdisciplinary topics including: Geo-cultural bias in AI-generated urban models (SimCityNet) Comparative religious text analysis using LLMs (HalalLLM vs. KosherLLM) Political polarization metrics through social media interactions Article trends highlight AI's role in addressing social science challenges, from electoral geography to disaster response optimization. His work integrates natural language processing, dynamic network modeling, and cross-cultural analysis. He contributes to advancing accessible AI systems (ACROSS) and understanding misinformation dynamics. No scientific awards listed in available data.
Dr. Yuhan Jiang is an Assistant Professor in the Department of Built Environment at North Carolina A&T State University's College of Science and Technology. He serves as the Founding Director of the HUD Center of Excellence for Innovation in Affordable Housing and Sustainable Communities (CIAHSC). Dr. Jiang leads a multidisciplinary research team focused on integrating robotics, artificial intelligence, and Building Information Modeling in construction operations and infrastructure management. Ph.D. in Civil Engineering from Marquette University M.M. in Construction Management from Guangzhou University Additional Construction Management degree from Guangzhou University Dr. Jiang's research primarily focuses on artificial intelligence applications in architecture, engineering, construction, and operations (AECO). His work integrates robotics and remote sensing for data collection, computer vision and machine learning for data processing, and BIM, GIS, and AR/VR for data visualization. His research enables more efficient construction operations, building inspection, and infrastructure management. Additionally, he has extensive experience in community redevelopment planning and complex systems simulation, including investigating urban village formation mechanisms. Analysis of Dr. Jiang's recent publications reveals a strong focus on applying drone technology, computer vision, and deep learning to construction and infrastructure challenges. His work spans multiple domains including façade modeling, pavement evaluation, sidewalk inspection, earthwork calculation, and 3D reconstruction. A consistent theme across his research is the development of automated systems that improve efficiency, accuracy, and safety in construction and infrastructure management through AI and robotics. N.C. A&T and CoST Junior Faculty Teaching Excellence Award 2024-25 N.C. A&T and CoST Rookie Researcher of the Year Award 2024 ASCE Journal of Architectural Engineering Best Paper Award 2022 ASCE CI & CRC Joint Conference Best Paper Award 2024 AAAS HBCU Making and Innovation Showcase 1st Place 2024 CoST SciTech Week Innovation Challenge awards (2023-2025) N.C. A&T Provost's Faculty Fellow (2023 & 2024) Dr. Jiang has successfully secured over $4.5 million in research funding as PI or Co-PI, including a $2.5 million HUD Center of Excellence grant. He has mentored students who won 1st and 3rd place in the 2023 & 2024 Sci-Tech Week Innovation Challenge competitions and 1st place at the 2024 AAAS HBCU Making and Innovation Showcase. His funded projects span AI-driven BIM education tools, smart farming with robotics, drone-based façade modeling, and digital twin applications for infrastructure management. As Founding Director of the HUD Center of Excellence for Innovation in Affordable Housing and Sustainable Communities (CIAHSC), Dr. Jiang leads a multidisciplinary team focused on innovative approaches to affordable housing and sustainable community development. His lab work integrates drone technology, computer vision, and AI to create practical solutions for real-world construction and infrastructure challenges.
Sathyanarayanan N. Aakur is an Assistant Professor in the Department of Computer Science and Software Engineering at Auburn University's College of Engineering. Previously, he was an Assistant Professor in the Department of Computer Science at Oklahoma State University. He is an IEEE Senior Member and has received the prestigious NSF CAREER award for his research on multi-modal event understanding. Dr. Aakur received his PhD from the University of South Florida, where he worked with Dr. Sudeep Sarkar in the Computer Vision and Pattern Recognition Group. He also holds a Master's degree in Management Information Systems from the Muma College of Business at the University of South Florida and an undergraduate degree in Electronics and Communication Engineering from Velammal Engineering College, Anna University, India. His research focuses on the intersection of computer vision, natural language processing, and psychology, with the goal of building intelligent agents that understand the visual world beyond simple recognition or captioning. His work encompasses self-supervised predictive learning for video event segmentation, commonsense reasoning to ground perception and prior knowledge, and generative modeling for building knowledge systems. Much of his group's current work focuses on analyzing, modeling, and synthesizing complex video scenes, with applications in agriculture and animal diagnostics. His recent publications demonstrate a strong focus on open-world visual understanding, neurosymbolic reasoning, and multimodal learning. His work spans from fundamental computer vision problems like egocentric action recognition and scene graph generation to applied research in agricultural technology and biomedical informatics. He has successfully published at top-tier conferences including CVPR, ICCV, ECCV, and WACV, as well as in high-impact journals like IEEE TPAMI. NSF CAREER Award (2022) IEEE Senior Member (2024) Dr. Aakur serves as Area Chair for major conferences including CVPR, WACV, ICML, and NeurIPS, and as Associate Editor for Pattern Recognition journal. He has successfully mentored numerous students who have published at top venues in computer vision and machine learning. His research group has received funding from sources including the NSF and USDA for projects related to multimodal time series classification and stress detection in precision agriculture. The lab maintains active collaborations with institutions including the University of South Florida and Florida State University.
Leila De Floriani is a Professor at the University of Maryland, with appointments in the Department of Geographical Sciences and the University of Maryland Institute for Advanced Computer Studies (UMIACS). She previously served as a professor at the University of Genova (Italy) since 1990, where she developed Italy's first undergraduate and graduate curricula in computer graphics and directed the Ph.D. program in Computer Science for eight years. Her professional activities include serving as the 2020 President of the IEEE Computer Society and currently as IEEE Division VIII Director for 2023-24. Professor De Floriani's research spans geometric modeling, data visualization, spatial data representation and processing, computer graphics, shape analysis, and topological data analysis. Her work focuses on developing mathematical models and algorithms for representing, analyzing, and visualizing complex spatial data, particularly through hierarchical models, mesh-based representations, and topology-based approaches. Her research group, the GeoVis group, investigates applications in terrain modeling, environmental data analysis, and forest structure mapping using LiDAR technology. Analysis of her recent publications reveals a strong focus on terrain representation and processing, with increasing emphasis on topological data analysis, machine learning integration, and efficient algorithms for large-scale spatial data. Her work bridges theoretical foundations in computational topology with practical applications in geospatial sciences, demonstrating consistent innovation in data structures and visualization techniques. Scientific Awards & Recognitions Fellow of IEEE (2016) for contributions to geometric modeling and scientific visualization Fellow of International Association for Pattern Recognition (IAPR) (1998) for contributions to geometric modeling and image analysis Fellow of Eurographics Association (2020) for outstanding contributions to computer graphics and visualization Pioneer of Solid Modeling Association (2017) for seminal work in solid and feature-based modeling Inducted Member of IEEE Visualization Academy (2020) IEEE Computer Society Golden Medal Award (2018) Inducted Member of IEEE Honor Society Eta Kappa Nu (2019) Multiple best paper awards at major conferences including Shape Modeling International (2015), IEEE/EG Symposium on Volume and Point-Based Graphics (2008), and ACM SIGSPATIAL (2008) Professor De Floriani has successfully advised numerous PhD students including Xin Xu, Yunting Song, and Noel Dyer, whose recent dissertations focused on topology-based individual tree mapping, efficient terrain analysis, and bathymetric data visualization respectively. Her research has been funded by prestigious agencies including the National Science Foundation, NASA, and the European Commission. As the leader of the UMD GeoVis group, she oversees a research program that develops open-source tools for spatial data analysis available on GitHub, with current projects focusing on forest point cloud processing and topology-based geospatial data visualization. The GeoVis group, affiliated with the Department of Geographical Sciences, UMIACS, and the Center for Geospatial Information Sciences, maintains a strong collaborative environment with ongoing projects in geometric modeling, spatial data structures, topology-based machine learning, and mesh-based terrain modeling. The group has received recent funding from NASA's HPOSS program for developing an open-source library for forest point cloud processing based on topological data analysis.
Hermann M. Fritz is a full Professor at the Georgia Institute of Technology within the College of Engineering's School of Civil and Environmental Engineering. With expertise spanning tsunamis, coastal hazards, hurricane storm surges, landslides, and submarine volcanic eruptions, his research focuses on the fluid dynamics aspects of these natural hazards and their mitigation strategies. Dr. Fritz earned his Doctorate degree (Dr. sc. ETH Zurich) in 2002 from the Swiss Federal Institute of Technology in Zurich. His extensive field experience includes leading or participating in more than a dozen post-disaster reconnaissance campaigns across multiple continents, documenting tsunami events from the 2004 Indian Ocean tsunami through the 2017 Greenland event, and hurricane surveys from Hurricane Katrina (2005) to Hurricane Nate (2017). His research integrates physical modeling with field observations, with recent work focusing on tsunamis generated by submarine volcanic eruptions, as evidenced by his development of a unique volcanic tsunami generator for large-scale wave basin experiments. His publication record shows consistent high-impact research in natural hazard science, with a particular emphasis on understanding wave generation mechanisms, coastal inundation patterns, and sediment transport processes during extreme events. Among his notable recognitions is the Plinius Medal from the European Geosciences Union (2014), highlighting his significant contributions to natural hazard research. His work bridges fundamental fluid dynamics with practical applications for coastal protection and disaster risk reduction. Plinius Medal, EGU (European Geosciences Union) - 2014 Dr. Fritz has mentored numerous students through his research projects, though specific names aren't provided in the available information. His collaborative approach is evident through his extensive co-authorship network spanning multiple institutions worldwide. Current research directions include advanced physical modeling of tsunami generation mechanisms, particularly those related to volcanic activity and landslides, as well as improving coastal resilience against extreme events. His laboratory work at Georgia Tech involves sophisticated experimental setups including large three-dimensional wave basins and specialized generators for simulating complex natural phenomena under controlled conditions. This experimental approach complements his extensive field survey experience, creating a powerful research methodology that connects theoretical understanding with real-world observations.
Dr. Jun Hu is an Associate Professor in Design Research on Social Computing at the Department of Industrial Design, Eindhoven University of Technology (TU/e). He serves as the Scientific Director for the Engineering Doctorate program in Designing Human-System Interaction and is the chair of the working group "Aesthetics and empowerment" of IFIP TC14. Additionally, he holds positions as a Distinguished Adjunct Professor at Jiangnan University and a Guest Professor at Zhejiang University. Dr. Hu earned his Ph.D. degree in Interaction Design and an Engineering Doctorate degree in User-system Interaction, both from TU/e. He also holds a B.Sc degree in Mathematics and an M.Eng degree in Computer Science. He is a System Analyst and a Senior Programmer with qualifications from the Ministry of Human Resources and Social Security, and the Ministry of Industry and Information Technology of China. His research focuses on the intersection of Human-Computer Interaction, Social Computing, and Design Research, with particular interests in data physicalization, empowering systems, and health informatics. Dr. Hu's work explores how technology can be designed to support human needs in social contexts, with applications in health, stress management, and physical activity motivation. His approach often combines aesthetic considerations with functional design to create systems that empower users. Analysis of Dr. Hu's recent publications reveals a strong focus on data physicalization, social aspects of personal informatics, and health applications of interactive systems. His work spans from theoretical frameworks for understanding user interaction with physicalized data to practical applications in stress management for children and motivation for physical activity. There's a clear trend toward integrating AI capabilities into human-centered design approaches while maintaining a focus on user empowerment. Senior Member of ACM Distinguished Adjunct Professor at Jiangnan University Guest Professor at Zhejiang University Editor-in-chief for EAI Endorsed Transactions on Pervasive Health and Technology Associate editor for Behaviour & Information Technology and Entertainment Computing Editor for the International Journal of Arts and Technology Dr. Hu has supervised numerous students through the Engineering Doctorate program and has been involved in various research grants, particularly in the areas of health technology and human-system interaction. He has served in leadership roles including head of the Designed Intelligence group at ID TU/e from 2015-2017 and currently chairs the working group "Aesthetics and empowerment" of IFIP TC14. He coordinates the TU/e DESIS Lab in the DESIS Network and serves on multiple editorial boards. Dr. Hu is actively involved with the Design Of Empowering Systems research group and the EAISI Health initiative at TU/e. His work often involves interdisciplinary collaboration across computer science, design, and healthcare domains, focusing on creating systems that empower users through thoughtful integration of technology into everyday contexts. He also serves as Chairman of the Foundation for Design Promotion in Europe and China and is a board member of the International Chinese Association of Computer Human Interaction (ICACHI).
